International Heart Journal
Online ISSN : 1349-3299
Print ISSN : 1349-2365
ISSN-L : 1349-2365
Clinical Studies
Estimating the Timeframe of Lactate Reduction in Acute Cardiovascular Disease Using Functional Data Analysis Based on Nonlinear Mixed Effects Models
Takaya NakashimaShuntaro SatoHidetoshi MatsuiAtsushi Mizuno
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Supplementary material

2024 Volume 65 Issue 6 Pages 1058-1065

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Abstract

In patients with acute cardiovascular disease, treatment aimed at reducing lactate levels is crucial for improving prognosis. Trends in blood lactate levels for each specific cardiovascular disease can provide an accurate evaluation of the patient's condition. We used functional data analysis with nonlinear mixed effects models to estimate the timeframe of lactate reduction in 3 cardiovascular diseases (acute heart failure, aortic dissection, and ischemic heart disease) by analyzing lactate trends.

Among 1,816 patients admitted to the intensive care unit (ICU) or intensive cardiovascular care unit (ICCU) of St. Luke's International Hospital for cardiology or cardiovascular surgery from December 31, 2010, to June 31, 2020, 1,249 adults with a diagnosis of acute heart failure (39%), aortic dissection (24%), or ischemic heart disease (37%) were included in the present study. Using functional data analysis with nonlinear mixed effects models, our study estimated the timeframe of lactate reduction based on blood lactate level trends. Lactate reduction took 30 hours (95% CI, 23-37 hours) in patients with acute heart failure, 40 hours (95% CI, 33-47 hours) in patients with aortic dissection, and 95 hours (95% CI, 49-failed estimate) in patients with ischemic heart disease.

We were able to estimate the timeframe of lactate reduction with different cardiovascular diseases. Recognizing the differences in lactate reduction may be useful in developing treatment plans tailored to each disease.

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© 2024 by the International Heart Journal Association
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